If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
As 2019 draws to a close and a new year and a new decade are nearly upon us, we're looking back at the year's biggest AI innovations. Companies have applied artificial intelligence and machine learning to everything from enhancing the customer experience to revolutionizing medicine. Here's a closer look at key innovations in AI that made a splash in 2019 and set the stage for future innovation in 2020 and beyond. AI innovations and machine learning have made significant leaps forward in the financial industry. According to a Deloitte report, "AI leaders In financial services: Common traits of frontrunners in the artificial intelligence race", AI tools are reshaping many aspects of financial services and the way we manage our money.
Neural networks are trained to exactly fit the data. Such models usually would be considered as over-fitting, and yet they have managed to obtain high accuracy on test data. It is counter-intuitive -- but it works. This has raised many eyebrows, especially regarding the mathematical foundations of machine learning and their relevance to practitioners. In order to address these contradictions, researchers at OpenAI, in their recent work, double down on this widely believed grand illusion of bigger is better.
Nvidia researchers have published a paper describing a rendering framework that can produce 3D objects from 2D images. Not only that, due to the power of machine learning and AI, the tech does a good job of predicting the correct shape, colour, texture and lighting of the real-life 3D objects. The research could have important impacts in machine vision with depth perception, for robotics, self driving cars, and more. The full research paper, typically dryly entitled Learning to Predict 3D Objects with an Interpolation-Based Renderer, is available as a PDF by clicking the link. A new rendering framework called DIB-R, a differentiable interpolation-based renderer, is the main topic of the paper.
When it comes to contracts, every business learns to deal with several important contractual facts of life. One is that contracts need to accurately protect the company's business interests while adhering to acceptable legal practices and regulatory requirements in relevant jurisdictions. Another is that contracts must be faithfully administered in order to serve their basic business functions. Finally, contract management costs a lot. It is the cost of creating and administering contracts inefficiently.
Games have become a go-to testbed for researchers, where the benchmark of human intellect can be put to test in a somewhat reliable way. AI had been, in the past, pitted against humans in games of chess, poker, GO and more. These standard methods usually require years of game time to attain human performance in complex games such as Go and StarCraft. Today AI researchers are considering a new contender in the form of Minecraft to investigate intelligence in AI agents. Minecraft was created by Swedish developer Markus Persson and released by Mojang in 2011.
A savvy approach to artificial intelligence can radically enhance productivity and slash costs. You're not imagining it: the pace of technological change is indeed quickening and it's placing tremendous competitive pressures on every corner of the global economy Manufacturers are acutely feeling the squeeze. Eighty-five percent of industrial equipment execs surveyed by Accenture say they need to innovate ever faster just to keep up. That puts them in a perilous catch-22: it's prohibitively expensive to upgrade equipment to meet customer demands, yet they risk losing customers altogether if they don't. Enter artificial intelligence, the great equalizer for manufacturers.
Observe.ai, an artificial intelligence-based startup that focusses on voice conversations for customer service, has raised $26 million (approximately Rs 184.16 crore at current exchange rates) in its Series A funding round from a clutch of investors. California-based venture capital firm Scale Venture Partners led the investment round, Observe.ai said in a statement. Other investors that participated in the round include Nexus Venture Partners, Steadview Capital, 01 Advisors and Emergent Ventures. The company said it will use the funds to expand its US and India teams, and will also accelerate its product development. Swapnil Jain, co-founder and chief executive officer at Observe.ai, said the investment will fuel the firm's mission to elevate agent performance through AI-based coaching and insights The latest investment takes the total funding raised by Observe.ai
I'm in the middle seat of a Chrysler Pacifica minivan, heading north on Dobson Road in Chandler, Arizona, when I notice we may have taken a wrong turn. Under normal circumstances, I would just lean forward and ask the driver for an explanation. There is, after all, no driver to ask. Last October, Alphabet's self-driving subsidiary Waymo emailed its customers in the suburbs of Phoenix to let them know that "completely driverless Waymo cars are on the way." For several years, Waymo has offered its autonomous taxi service to a small group of people, but the rides typically included a safety driver behind the steering wheel.